Adaptive cluster growth: a new algorithm for circuit placement in rectilinear regions
نویسندگان
چکیده
A new algorithm called adaptive cluster growth (ACG) for circuit packing (or detailed placement) in any rectilinear region is described; it is an analogy to the growth of a low-stress crystal in a cavity of any given shape. The algorithm ACG is suitable for the packing of circuit modules, either standard-cell or macrocell, in a rectilinear region by the refinement of a result of global placement obtained using such techniques as force-directed relaxation or force-and-cut placement. The overlaps among modules or overlaps between any module and chip boundary are removed in the ACG algorithm in such a way that the estimation of the total routing length is kept as low as possible. An experiment with standard-cell circuits using benchmark data has shown that the ACG algorithm outperforms, or performs close to, other packing techniques that are applicable only to rectangular regions, even in the rectangular-region case. Examples are given to demonstrate the packing of standard-cell circuits in several arbitrarily shaped rectilinear regions. An efficient tiling scheme for representing the rectilinear-shaped cluster and region boundary is also described. The program is written in c, and the vax 11/750 CPU time for the detailed placement of 752-cell circuits is about 70 s.
منابع مشابه
Adaptive Dynamic Data Placement Algorithm for Hadoop in Heterogeneous Environments
Hadoop MapReduce framework is an important distributed processing model for large-scale data intensive applications. The current Hadoop and the existing Hadoop distributed file system’s rack-aware data placement strategy in MapReduce in the homogeneous Hadoop cluster assume that each node in a cluster has the same computing capacity and a same workload is assigned to each node. Default Hadoop d...
متن کاملCircuit placement on arbitrarily shaped regions using the self-organization principle
In this paper, we present an algorithm, called selforganization assisted placement (SOAP), for circuit placement in arbitrarily shaped regions, including two-dimensional rectilinear regions, nonplanar surfaces of three-dimensional objects, and three-dimensional volumes. SOAP is based on a learning algorithm for neural networks proposed by Kohonen [l], called self-organization, which adjusts the...
متن کاملAn Adaptive LEACH-based Clustering Algorithm for Wireless Sensor Networks
LEACH is the most popular clastering algorithm in Wireless Sensor Networks (WSNs). However, it has two main drawbacks, including random selection of cluster heads, and direct communication of cluster heads with the sink. This paper aims to introduce a new centralized cluster-based routing protocol named LEACH-AEC (LEACH with Adaptive Energy Consumption), which guarantees to generate balanced cl...
متن کاملOptimal Placement and Sizing of DGs and Shunt Capacitor Banks Simultaneously in Distribution Networks using Particle Swarm Optimization Algorithm Based on Adaptive Learning Strategy
Abstract: Optimization of DG and capacitors is a nonlinear objective optimization problem with equal and unequal constraints, and the efficiency of meta-heuristic methods for solving optimization problems has been proven to any degree of complex it. As the population grows and then electricity consumption increases, the need for generation increases, which further reduces voltage, increases los...
متن کاملDiscrete Multi Objective Particle Swarm Optimization Algorithm for FPGA Placement (RESEARCH NOTE)
Placement process is one of the vital stages in physical design. In this stage, modules and elements of circuit are placed in distinct locations according to optimization basis. So that, each placement process tries to influence on one or more optimization factor. In the other hand, it can be told unequivocally that FPGA is one of the most important and applicable devices in our electronic worl...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Computer-Aided Design
دوره 24 شماره
صفحات -
تاریخ انتشار 1992